:

Zhilong Liang1, Zhenzhi Tan2, Ruixin Hong1

  • 1Institute for Artificial Intelligence of Tsinghua University (THUAI), Beijing National Research Center for Information Science and Technology (BNRist), and Department of Automation, Tsinghua University, Beijing 100084, P. R. China.

概括

本研究介绍了一种使用机器学习的自动化方法,用于分析扫描电子显微镜 (SEM) 图像的聚合物可混合性. 人工智能模型达到94%的准确性,为人工分析提供了定量和高效的替代方案.

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